Abhishek Sharma

I will be a mentor again at London Geometry and ML School, 2024 at Imperial College London.
A thorough comparison of PAI-3D and AlphaMissense submitted to Nature Genetics.
I was one of the mentors at London Geometry and Machine Learning School, 2022
Matrix Decomposition on graphs: a Functional view accepted at ICASSP'22.
I gave an invited talk on 'Learning based correspondence' at SGI'21 by MIT
Weakly Supervised Deep Functional Maps accepted at Neurips'20.
We got another best paper award Nomination , this time at CVPR 2020 ! Top 26 out of 6000 submissions
We got a Best Paper Award Nomination ( 7 out of 4000 +) at ICCV 2019.
presented Foreground Clustering at Neurips 2018 .

Publications

Matrix Decomposition on Graphs: A Functional View
ICASSP, 2022

arxiv / Code / bibtex

@article{sharma2020,
Title={Matrix Decomposition on Graphs: A Functional View},
Author={Abhishek Sharma and Maks Ovsjanikov},
Journal={ICASSP},
Year={2022}}

Weakly Supervised Deep Functional Maps for Shape Matching
NeurIPS, 2020

arxiv / Code / bibtex

@article{sharma2020,
Title={Weakly Supervised Deep Functional Maps for Shape Matching},
Author={Abhishek Sharma and Maks Ovsjanikov},
Journal={NeurIPS},
Year={2020}}

Deep geometric functional maps: Robust feature learning for shape correspondence
CVPR, 2020 Best Paper Award Nominee

arxiv / Code / bibtex

@article{donati20,
Title={Deep geometric functional maps: Robust feature learning for shape correspondence},
Author={Nicolas Donati, Abhishek Sharma and Maks Ovsjanikov},
Journal={CVPR},
Year={2020}}

Unsupervised deep learning for structured shape matching
ICCV, 2019 Best Paper Award Nominee

arxiv / Code / bibtex

@article{roufosse19,
Title={Unsupervised deep learning for structured shape matching},
Author={Jean-Michel Roufosse, Abhishek Sharma and Maks Ovsjanikov},
Journal={ICCV},
Year={2019}}

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence
Siggraph Asia, 2019

arxiv / Code / bibtex

@article{roufosse19,
Title={ZoomOut: Spectral Upsampling for Efficient Shape Correspondence},
Author={Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov},
Journal={ICCV},
Year={2019}}

Foreground-Clustering-for-Joint-segmentation-and-Localization
NeurIPS, 2018

arxiv / Code / bibtex

@article{sharma18,
Title={Foreground-Clustering-for-Joint-segmentation-and-Localization},
Author={Abhishek Sharma},
Journal={NeurIPS},
Year={2018}}

VConv-DAE: Deep Volumetric Shape Learning Without Object Labels
ECCV, 2016

arxiv / Code / bibtex

@article{sharma16,
Author    = {Abhishek Sharma and Oliver Grau and Mario Fritz},
Title     = {VConv-DAE: Deep Volumetric Shape Learning Without Object Labels},
Journal   = {ECCV},
Year      = {2016}}

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Publications